Triple
T15549113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madiun Regency |
E370692
|
entity |
| Predicate | hasMotto |
P42
|
FINISHED |
| Object |
Kreta Bhakti
Kreta Bhakti is the official motto of Madiun Regency in Indonesia, reflecting the region’s guiding values and identity.
|
E1163191
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kreta Bhakti | Statement: [Madiun Regency, hasMotto, Kreta Bhakti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kreta Bhakti Context triple: [Madiun Regency, hasMotto, Kreta Bhakti]
-
A.
Gudakesha
Gudakesha is an epithet of the warrior prince Arjuna from the Indian epic Mahabharata, highlighting his mastery over sleep and unwavering focus.
-
B.
Revakhanda
Revakhanda is a section of the Skanda Purana that focuses on the legends, sacred geography, and religious significance associated with the Narmada River region.
-
C.
Achhut Kanya
Achhut Kanya is a landmark 1936 Hindi social drama film that tackled caste discrimination and is regarded as one of early Indian cinema’s most influential reformist works.
-
D.
Priyadarshana
Priyadarshana is traditionally regarded as one of the children of Mahavira, the 24th Tirthankara in Jainism.
-
E.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kreta Bhakti Triple: [Madiun Regency, hasMotto, Kreta Bhakti]
Generated description
Kreta Bhakti is the official motto of Madiun Regency in Indonesia, reflecting the region’s guiding values and identity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kreta Bhakti Target entity description: Kreta Bhakti is the official motto of Madiun Regency in Indonesia, reflecting the region’s guiding values and identity.
-
A.
Gudakesha
Gudakesha is an epithet of the warrior prince Arjuna from the Indian epic Mahabharata, highlighting his mastery over sleep and unwavering focus.
-
B.
Revakhanda
Revakhanda is a section of the Skanda Purana that focuses on the legends, sacred geography, and religious significance associated with the Narmada River region.
-
C.
Achhut Kanya
Achhut Kanya is a landmark 1936 Hindi social drama film that tackled caste discrimination and is regarded as one of early Indian cinema’s most influential reformist works.
-
D.
Priyadarshana
Priyadarshana is traditionally regarded as one of the children of Mahavira, the 24th Tirthankara in Jainism.
-
E.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a93121881909d88ca55a39252ac |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff455dfbcc8190a93e90c59b2d3045 |
completed | May 9, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69ff467e5d6c8190ba3bf6557e683233 |
completed | May 9, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff470912bc8190a42ee312aca55872 |
completed | May 9, 2026, 2:39 p.m. |
Created at: April 10, 2026, 4:08 a.m.